Triple
T8676283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Firebird |
E205922
|
entity |
| Predicate | originalKashcheiDancer |
P32690
|
FINISHED |
| Object | Pavel Tchernichev |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Pavel Tchernichev | Statement: [The Firebird, originalKashcheiDancer, Pavel Tchernichev]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalKashcheiDancer Context triple: [The Firebird, originalKashcheiDancer, Pavel Tchernichev]
-
A.
firstAuroraDancer
Indicates that an entity is the first individual to perform or embody the role of an Aurora Dancer in a given context or sequence.
-
B.
featuresProfessionalDancer
Indicates that an entity includes or presents a professional dancer as part of its content, composition, or offering.
-
C.
choreographer
Indicates that one entity is the person who designs and arranges the dance or movement sequences performed by another entity.
-
D.
danceRole
chosen
Indicates that one entity has a specific role or function within a dance performed with or in relation to another entity.
-
E.
danceSceneInspired
Indicates that one dance scene is creatively influenced or modeled after another source, such as a different scene, style, or performance.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4ae6d19c8190be003f7901c0468d |
completed | March 31, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69cc4567b5c881908d9ec5dcfc783fac |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:32 p.m.